Vol-3198
urn:nbn:de:0074-3198-4

Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

ATAIT 2022
Advanced Technologies and Applications in the Internet of Things 2022

Proceedings of the 4th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2022)

Ibaraki and Virtual, Japan, August 24-26, 2022.

Edited by

Hiroki Nishikawa *
Xiangbo Kong **

* Graduate School of Information Science and Technology, Osaka University, 1-5 Yamada-oka, Suita, Osaka, 565-0871, Japan
** Department of Electronic and Computer Engineering, College of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga 525-8577, Japan

Table of Contents

Preface

Introduction
Summary: There were 14 papers submitted for peer-review to this symposium. Out of these 11 papers were accepted for this volume, 5 as regular papers and 6 as short papers.

Invited Talks

Ultrasonic Audio-spot and Potential Applications in Internet of Things
Yuting Geng
Multimodal Deep Learning in Healthcare
Jiaqing Liu

Regular Papers

Gait Classification of Common Pedestrians and Smartphone Zombies Using Micro-Doppler Radar 1-6
Kazuki Yasuda, Teppei Tsuyuhara, Masao Masugi, Kenshi Saho
A Case Study on Forehand Footwork Mistake Detection in Table Tennis 7-16
Hiroki Matsumiya, Xiangbo Kong, Ami Tanaka, Hiroki Nishikawa, Hiroyuki Tomiyama
Dementia Diagnose Based on Machine Learning Using Doppler Radar Image for the Elderly Person 17-24
Ryoto Ishibashi, Naoto Nojiri, Kenshi Saho, Lin Meng
A survey of model pruning for deep neural network 25-34
Zhuo Li, Lin Meng
Delivery Drone Routing under Load-dependent Flight Speed based on Integer Quadratic Programming 35-42
Mao Nishira, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama
Monocular Thermal Camera Depth Estimation with Optical Flow for Autonomous Drones 43-52
Tomoyasu Shimada, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama
A Heuristic Scheduling Algorithm with Variable-Cycle Approximate Functional Units in High-Level Synthesis 53-59
Koyu Ohata, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama
An Accuracy-Controllable Approximate Adder for FPGAs 60-66
Masaki Sano, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama, Tongxin Yang, Tomoaki Ukezono, Toshinori Sato
Evaluation of Power Analysis Attack Resistance of Masked Adders on FPGA 67-74
Yilin Zhao, Qidi Zhang, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama
Deep Learning-Based Side-Channel Attacks against Software-Implemented RSA using Binary Exponentiation with Dummy Multiplication 75-84
Seiya Shimada, Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino
Deep Learning Side-Channel Attacks against Hardware-Implemented Lightweight Cipher Midori 64 85-94
Madoka Sakou, Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino

2022-08-14: submitted by Hiroki Nishikawa, metadata incl. bibliographic data published under Creative Commons CC0
2022-08-23: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|